Data Science Team Lead - Generative AI

Role : Data Science(GenAI) Team Lead

Location : Jaipur, Rajasthan, India.

Company : Marktine Technology Pvt. Ltd.

Experience : 5 years or more.

Employment Type : Full-time, On-site.

About Marktine Solutions :

Marktine Solutions is a Jaipur-based innovation-driven technology company committed to solving real-world business challenges with next-gen AI and machine learning solutions.

We believe in a hands-on, research-first approach to development, pushing boundaries in data science, automation, and intelligent systems.

Role Overview :

We are looking for a Data Scientist with atleast 4 years of hands-on experience to join our on-site team in Jaipur.

The ideal candidate will be passionate about artificial intelligence, with specific expertise in computer vision, large language models (LLMs), generative AI, agentic AI, and API development.

This role is highly collaborative and innovation-driven, focusing on building advanced AI systems from research to deployment.

Key Responsibilities :

AI/ML Model Development :

- Implement and integrate computer vision solutions using frameworks like OpenCV, YOLO, etc.

- Develop, fine-tune, and optimize machine learning and deep learning models for various real-world use cases.

- Apply LLMs for NLP and conversational AI tasks with experience in fine-tuning and optimizing performance.

Generative AI :

- Develop generative AI models for creative content synthesis, augmentation, and transformation.

- Explore the use of diffusion models, transformers, and GANs in generative tasks.

Agentic AI Development :

- Design and implement intelligent autonomous agents that can plan, reason, and interact with dynamic environments.

- Build modular agent systems for complex task execution and orchestration.

RAG (Retrieval-Augmented Generation) :

- Design and implement RAG pipelines to enhance the performance of LLMs using external knowledge bases.

- Optimize document retrieval, embedding models, and relevance ranking to support LLM workflows.

API & Deployment :

- Build robust RESTful APIs using FastAPI for model deployment and integration.

- Use Docker for containerizing AI models and streamlining deployment pipelines.

Research & Development :

- Stay updated with the latest trends in AI/ML and explore novel methods and tools for potential adoption.

- Participate in internal R&D efforts to prototype experimental solutions and conduct feasibility studies.

Cross-functional Collaboration & Communication :

- Work closely with product managers, data engineers, and frontend/backend developers to translate requirements into solutions.

- Present complex results and insights to stakeholders in a clear and actionable manner.

Required Qualifications :

- Education : Bachelor's or Masters in CS, DS, AI, or related field.

- Technical Skills : Python, TensorFlow, PyTorch, scikit-learn, Hugging Face.

- Computer vision, LLMs, generative AI, FastAPI, Docker, GitHub.

- Knowledge of agentic AI and RAG.

- Soft Skills : Strong communication, collaborative mindset, research orientation, and agility.

Preferred Qualifications :

- Familiarity with vector databases (e.g., FAISS, Pinecone, Qdrant) used in RAG systems.